class_docstr: A DoFn that loads the models and predicts.
class_docstr_tok: ["A","DoFn","that","loads","the","models","and","predicts","."]
code: def __init__(
      self, eval_shared_models: Dict[str, tfma.EvalSharedModel]
  ):
      super().__init__(
          {k: v.model_loader for k, v in eval_shared_models.items()}
      )
  
file_path: tfx/tfx/examples/penguin/experimental/sklearn_predict_extractor.py
imports: import copy
  import os
  import pickle
  from typing import Dict, Iterable, List
  import apache_beam
  import tensorflow
  import tensorflow_model_analysis
  from tfx_bsl.tfxio import tensor_adapter
label_desc: Use image node_id 1 to create a new _TFMAPredictionDoFn object from inherited base classes: tfma.utils with example: obj = _TFMAPredictionDoFn(eval_shared_models)